Evidence map›Paper›PMID 38715026›Full record

ArticleRespiratory research2024

Predictors of moderate to severe obstructive sleep apnea in patients with lung cancer.

Mohamed H Zidan, Hany M Shaarawy, Heba S Gharraf, Suzan F Helal, Maged Hassan, Rana Rizk

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mohamed H ZidanChest Diseases Department, Alexandria Faculty of Medicine, Khartoum Square, Alexandria, Egypt.
Hany M ShaarawyChest Diseases Department, Alexandria Faculty of Medicine, Khartoum Square, Alexandria, Egypt.
Heba S GharrafChest Diseases Department, Alexandria Faculty of Medicine, Khartoum Square, Alexandria, Egypt.
Suzan F HelalPathology Department, Alexandria Faculty of Medicine, Alexandria, Egypt.
Maged HassanChest Diseases Department, Alexandria Faculty of Medicine, Khartoum Square, Alexandria, Egypt.
Rana RizkChest Diseases Department, Alexandria Faculty of Medicine, Khartoum Square, Alexandria, Egypt. Ranaalsaeed89@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesOSA is a known medical condition that is associated with several comorbidities and affect patients' quality of life. The association between OSA and lung cancer remains debated. Some studies reported increased prevalence of OSA in patients with lung cancer. We aimed to assess predictors of moderate-to-severe OSA in patients with lung cancer.

methodsWe enrolled 153 adult patients who were newly diagnosed with lung cancer. Cardiorespiratory monitoring was performed using home sleep apnea device. We carried out Univariate and multivariate logistic regression analysis on multiple parameters including age, gender, smoking status, neck circumference, waist circumference, BMI, stage and histopathology of lung cancer, presence of superior vena cava obstruction, and performance status to find out the factors that are independently associated with a diagnosis of moderate-to-severe OSA.

resultsOur results suggest that poor performance status is the most significant predictor of moderate to severe OSA in patients with lung cancer after controlling for important confounders.

conclusionPerformance status is a predictor of moderate to severe OSA in patients with lung cancer in our population of middle eastern ethnicity.

Indexed as

Lung NeoplasmsSeverity of Illness IndexSleep Apnea, ObstructiveAdultAgedFemaleHumansMaleMiddle AgedPolysomnographyPredictive Value of TestsRisk FactorsLung cancerOSAPerformance status

Identifiers

PMID38715026
PMCPMC11077845

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